# ！/usr/bin/python3
# coding=utf-8
import pandas as pd
from tensorflow import keras
import tensorflow as tf
from gensim.models import TfidfModel
from gensim.models import Word2Vec
from gensim.models.doc2vec import Doc2Vec

keras.layers.Dense

keras.models.Model
keras.Model
tf.keras.losses.MeanSquaredError
layer = tf.keras.layers.Dense(100, input_shape=(None, 5))
layer.variables
tf.keras.optimizers.SGD
tf.keras.layers.Layer
tf.keras.layers.Dense
tf.train.Feature
tf.keras.layers.SimpleRNN
tf.keras.layers.LSTM
tf.keras.Model
tf.keras.layers.BatchNormalization
tf.linalg.band_part
